Directory
Availability to Accept New PhD Students:
This faculty member is currently accepting Ph.D. studentsVanessa Frias-Martinez
Associate Professorvfrias@umd.edu
2123B Hornbake Building, South Wing
http://www.vanessafriasmartinez.org/
Dr. Vanessa Frias-Martinez is an Associate Professor in the UMD College of Information and UMIACS and an affiliate associate professor in the Department of Computer Science. She also leads the Urban Computing Lab.
FOCUS
Dr. Frias-Martinez’s research focuses on the use of large-scale ubiquitous data to model the interplay between human mobility patterns and the built environment. She is also interested in how such models can be used to aid decision makers in areas such as poverty, natural disasters or smart cities.
CURRENT RESEARCH INTERESTS
- Urban Informatics
- Smart Cities
- Big Data Analysis
- Applied Machine Learning
- ICTs for Development
EDUCATION
- PhD in Computer Science from Columbia University
- MSc in Computer Science from Columbia University
- BSc in Computer Science from Universidad de Valladolid
Associated Research Centers
- Computational Linguistics and Information Processing (CLIP) Lab
- Social Data Science Center (SoDa)
- Values-Centered Artificial Intelligence (VCAI) Initiative
Research & Focus Areas
- Data Science, Analytics, and Visualization
- Information Justice, Human Rights, and Technology Ethics
- Machine Learning, AI, Computational Linguistics, and Information Retrieval
- Smart Cities and Connected Communities
Research Projects
- III: Small: Bringing Transparency and Interpretability to Bias Mitigation Approaches in Place-based Mobility-centric Prediction Models for Decision
- NSF Convergence Accelerator Track J: NourishNet – A Food Recovery Toolbox
- REU Supplement: SCC-IRB Track 1: Inclusive Public Transit Toolkit to Assess Quality of Service Across Socioeconomic Status in Baltimore City
- REU Supplement: SCC-IRG Track 1: Inclusive Public Transit Toolkit to Assess Quality of Service Across Socioeconomic Status in Baltimore City
- SCC-IRG Track 1: Inclusive Public Transit Toolkit to Assess Quality of Service Across Socioeconomic Status in Baltimore City
- CAREER: Data-driven Models of Human Mobility and Resilience for Decision Making
- E. Bikes Effect on Mode and Route Choice: A Case Study of Richmond, VA
- NSF Convergence Accelerator Track J: MidAtlantic Food Resiliency Network – Securing the Future of Food through a Multi-Mindset Approach